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文献信息
PFG is an international scholarly journal covering the progress and application of photogrammetric methods, remote sensing technology and the interconnected field of geoinformation science. PFG accepts original papers on communication of new methodologies in data acquisition and new approaches to optimized processing and interpretation of all types of data which were acquired by photogrammetric methods, remote sensing, image processing and the computer-aided interpretation of such data in general. The journal hence addresses both researchers and students of these disciplines at academic institutions and universities as well as the downstream users in both the private sector and public administration.
Remote SensingPoint CloudsUnderwater PhotogrammetryRemote Sensing DataDeep LearningSemantic SegmentationConvolutional Neural NetworkInterferometric Synthetic Aperture RadarImage MatchingAirborne LiDAR BathymetryUnmanned Aerial VehicleSatellite ImageryLaser ScanningRemote Sensing ImagesDigital TwinUnmanned Aerial VehiclesPermanent ScatterersRoot Mean Square ErrorSimultaneous Localization and MappingConvolutional Neural Networks
vol.93 (2025)
vol.92 (2024)
vol.91 (2023)
vol.90 (2022)
vol.89 (2021)
vol.88 (2020)
vol.87 (2019)
vol.86 (2018)
vol.85 (2017)
vol.2016 (2016)
vol.2015 (2015)
vol.2014 (2014)
vol.2013 (2013)
vol.2012 (2012)
vol.2011 (2011)
vol.2010 (2010)
vol.2009 (2009)